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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 464 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

Max Range: 0.0150. Min Range: -0.0150

Max Act: 0.0150. Min Act: -0.0001

Data Index: 1545140 (Python Code)

Max Activating Token Index: 221

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Text #1

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 1629169 (Python Code)

Max Activating Token Index: 371

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Text #2

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 1387960 (Python Code)

Max Activating Token Index: 214

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Text #3

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Max Act: 0.0137. Min Act: -0.0002

Data Index: 1558547 (Python Code)

Max Activating Token Index: 801

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Text #4

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Max Act: 0.0127. Min Act: -0.0001

Data Index: 748150 (C4 (Web Text))

Max Activating Token Index: 331

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Text #5

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 1544658 (Python Code)

Max Activating Token Index: 996

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Text #6

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Data Index: 1213100 (C4 (Web Text))

Max Activating Token Index: 443

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Text #7

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Data Index: 322484 (C4 (Web Text))

Max Activating Token Index: 372

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Text #8

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Data Index: 1559954 (Python Code)

Max Activating Token Index: 512

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Text #9

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Data Index: 518730 (C4 (Web Text))

Max Activating Token Index: 714

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Text #10

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Data Index: 1419412 (Python Code)

Max Activating Token Index: 1023

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Text #11

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Data Index: 1585508 (Python Code)

Max Activating Token Index: 730

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Text #12

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Data Index: 586018 (C4 (Web Text))

Max Activating Token Index: 458

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Text #13

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Max Act: 0.0107. Min Act: -0.0002

Data Index: 466669 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #14

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Data Index: 1582545 (Python Code)

Max Activating Token Index: 994

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Text #15

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Data Index: 1636815 (Python Code)

Max Activating Token Index: 478

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Text #16

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Data Index: 1556503 (Python Code)

Max Activating Token Index: 486

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Text #17

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Data Index: 1410902 (Python Code)

Max Activating Token Index: 783

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Text #18

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Data Index: 1527839 (Python Code)

Max Activating Token Index: 474

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Text #19

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Data Index: 1518960 (Python Code)

Max Activating Token Index: 598

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